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AI Image Generator workflow blueprint

Generate and edit images from text prompts using Qwen Image

See where this blueprint fits in the production workflow lifecycle
Image
Generation
AI
Content
Request access
Pattern
Dag
Agents
2
Functions
1
MCP servers
0

Inputs for the AI Image Generator workflow

Provide the following information when starting this workflow. Required inputs are validated before the first workflow stage runs.

  • Prompt

    Required

    Text description of the image to generate

    Type: String
  • Storage Id

    Required

    Storage ID to save the generated image

    Type: String
  • Width

    Optional

    Image width (256-2048)

    Type: NumberSource default or example: 1664
  • Height

    Optional

    Image height (256-2048)

    Type: NumberSource default or example: 928

Input template

This request shape is generated from the blueprint's input schema. Angle-bracket values are placeholders; defaults and examples appear only when the source blueprint defines them.

{
  "prompt": "<required string>",
  "storage_id": "<required string>",
  "width": 1664,
  "height": 928
}

How the AI Image Generator AI workflow works

This content & writing blueprint uses a dag workflow with 2 agents, 1 function, and 0 MCP servers. This catalog blueprint is available by request; contact GraphN to discuss access and customization for your use case.

  1. Enhance Prompt

    Agent using Prompt Enhancer

  2. Generate Image

    Function using Generate Image

  3. Summarize

    Agent using Summary Writer

Blueprint resources and prerequisites

These are the actual agents, functions, and MCP servers declared by the blueprint. If an MCP server connects to an external system, configure the required connection and credentials in your GraphN workspace before running the workflow.

AI agent

Prompt Enhancer

You are an image generation prompt engineer.

AI agent

Summary Writer

You are a summary agent for image generation results.

Function

Generate Image

Generate an image from a text prompt

Workflow output contract

The completed workflow makes the following output available to downstream steps, applications, or API clients:

Summarize

Frequently asked questions

What does the AI Image Generator blueprint do?
Generate and edit images from text prompts using Qwen Image
What inputs does the AI Image Generator workflow use?
The workflow uses Prompt, Storage Id, Width, Height. Required fields and their expected formats are listed on this page.
What resources are included in the AI Image Generator blueprint?
The blueprint contains 2 AI agents, 1 function, 0 MCP servers. Its workflow pattern is Dag.
Can I customize the AI Image Generator blueprint in GraphN?
This blueprint is currently available by request. Contact GraphN to discuss access and customization for your use case.

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